基于量子纠缠的自适应计算模型

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

This paper introduces a novel quantum computing model predicated on the phenomenon of quantum entanglement. The model leverages this entanglement to enable self-adaptation within the quantum computation process, offering potential advancements in quantum algorithm optimization and error correction. We explore how entangled states can be utilized to dynamically adjust quantum states, thereby enhancing computational efficiency and resilience. The core mechanism centers on exploiting instantaneous correlations between entangled qubits, allowing for iterative refinement of quantum states without requiring explicit control over each individual qubit. This approach promises a paradigm shift in quantum computation, moving beyond static algorithms to dynamically adaptive computations. The study outlines the theoretical foundations and initial experimental explorations of this model, highlighting its potential impact on the future of quantum technology.

DOI: 10.5281/zenodo.22183869

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